ZipRecruiter

Log In

1

Ray Jobs in California (NOW HIRING)

EssilorLuxottica

Ray-Ban - Sales Associate

Walnut Creek, CA · On-site

$16.50 - $18.25/hr

Ray-Ban is part of EssilorLuxottica, a global leader in the design, manufacture and distribution of world-class vision care products, including iconic eyewear, advanced lens technology and cutting ...

Essilor

Ray-Ban - Sales Associate

Walnut Creek, CA

$16.50 - $18.25/hr

Ray-Ban is part of EssilorLuxottica, a global leader in the design, manufacture and distribution of world-class vision care products, including iconic eyewear, advanced lens technology and cutting ...

Ray Stone Inc

Sales & Leasing Director

Lodi, CA · On-site

$26 - $28/hr

Generate leads and close sales utilizing Ray Stone's grass roots approach to achieve sales and marketing goals for designated RSI community. Generate and cultivate referral relationships within ...

Essilor

Ray-Ban Meta Seasonal Associate

Glendale, CA

$14.25 - $17/hr

Ray-Ban is part of EssilorLuxottica, a global leader in the design, manufacture and distribution of world-class vision care products, including iconic eyewear, advanced lens technology and cutting ...

EssilorLuxottica

Ray-Ban Meta Seasonal Associate

Glendale, CA · On-site

$14.25 - $17/hr

Ray-Ban is part of EssilorLuxottica, a global leader in the design, manufacture and distribution of world-class vision care products, including iconic eyewear, advanced lens technology and cutting ...

Ray Stone Inc

Sales & Leasing Director

Lodi, CA · On-site

$26 - $28/hr

Generate leads and close sales utilizing Ray Stone's grass roots approach to achieve sales and marketing goals for designated RSI community. Generate and cultivate referral relationships within ...

Ray Stone Inc

Sales & Leasing Director

Lodi, CA · On-site

$26 - $28/hr

Generate leads and close sales utilizing Ray Stone's grass roots approach to achieve sales and marketing goals for designated RSI community. Generate and cultivate referral relationships within ...

Ray Stone Inc

Night Porter

Grass Valley, CA · On-site

$18.25 - $20/hr

Working for Ray Stone offers a unique and fulfilling opportunity to be part of a company that is dedicated to ethical real estate investment and management services. As an organization, Ray Stone is ...

Ray Stone Inc

Bus Driver | Part Time

Roseville, CA · On-site

$26 - $27.50/hr

Description Job Title Ray Stone is looking for an experienced Bus Driver to join our team. This position is part time, benefit eligible at 30 hours a week. Scheduled hours are from Monday through ...

Ray Stone Inc

Housekeeper

Grass Valley, CA · On-site

$19 - $20.50/hr

Working for Ray Stone offers a unique and fulfilling opportunity to be part of a company that is dedicated to ethical real estate investment and management services. As an organization, Ray Stone is ...

Ray Stone Inc

Maintenance Technician | Floating

Lodi, CA · On-site

$24.50 - $26.52/hr

Ray Stone Inc. is looking to hire an experienced Maintenance Technician to support two communities -three days per week at River's Edge Apartments and two days per week at Meritage Apartments . This ...

Ray Stone Inc

Night Porter

Grass Valley, CA · On-site

$18.50 - $20/hr

Working for Ray Stone offers a unique and fulfilling opportunity to be part of a company that is dedicated to ethical real estate investment and management services. As an organization, Ray Stone is ...

Ray Stone Inc

Resident Relations | Part-Time

Roseville, CA · On-site

$24 - $26/hr

Working for Ray Stone offers a unique and fulfilling opportunity to be part of a company that is dedicated to ethical real estate investment and management services. As an organization, Ray Stone is ...

next page

Showing results 1-20

All JobsRay JobsRay Jobs in California

Ray information

See California salary details

$711

$2.1K

$3K

How much do ray jobs pay per week?

As of Jul 14, 2026, the average weekly pay for ray in California is $2,066.58, according to ZipRecruiter salary data. Most workers in this role earn between $1,717.31 and $2,467.31 per week, depending on experience, location, and employer.

What is the difference between Ray vs Data Engineer?

AspectRayData Engineer
Required CredentialsTypically a background in computer science, programming, or data science; certifications varyDegree in computer science, information technology, or related field; often certifications in data management
Work EnvironmentDistributed computing, AI, and machine learning projects; often in tech companies or research labsData pipeline development, database management, ETL processes; in tech, finance, healthcare, and more
Employer & Industry UsageUsed by organizations implementing distributed computing and AI workloadsEmployed across industries managing large-scale data systems and analytics

While Ray is a framework for distributed computing and AI workloads, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles require technical skills, but Ray is more specialized in distributed processing, whereas Data Engineers work broadly with data systems across industries.

What are some common challenges faced by Ray engineers when deploying large-scale distributed applications?

Ray engineers often encounter challenges related to resource management, debugging, and ensuring fault tolerance when deploying distributed applications at scale. Effectively allocating resources across clusters and handling network or node failures require a solid understanding of Ray's architecture and orchestration tools. Additionally, debugging distributed workloads can be complex, so familiarity with Ray's monitoring and logging capabilities is essential. Collaborating closely with data scientists, DevOps, and infrastructure teams is a typical part of the workflow to ensure seamless deployment and scalability.

What are Ray jobs?

Ray jobs refer to distributed computing tasks managed by the Ray framework, which is an open-source library for scaling Python applications. Ray allows developers to run parallel and distributed workloads, such as machine learning training or data processing, across multiple CPUs and GPUs. Ray jobs can be anything from simple functions to complex pipelines, and they are managed and scheduled by Ray's job management system. This makes it easier to scale applications without significant changes to existing code.

What are the key skills and qualifications needed to thrive as a Ray (Ray Distributed Computing) Engineer, and why are they important?

To thrive as a Ray Distributed Computing Engineer, you need a solid background in software engineering, distributed systems, and proficiency with Python, often supported by a degree in computer science or a related field. Familiarity with Ray's APIs, machine learning frameworks, cloud platforms, and containerization tools like Docker and Kubernetes is typically required. Problem-solving, collaboration, and effective communication stand out as crucial soft skills in this role. These skills and qualifications are essential for developing scalable, high-performance distributed applications and collaborating efficiently within a technical team.
What are the most commonly searched types of Ray jobs in California? The most popular types of Ray jobs in California are:
What are popular job titles related to Ray jobs in California? For Ray jobs in California, the most frequently searched job titles are:
What job categories do people searching Ray jobs in California look for? The top searched job categories for Ray jobs in California are:
Ray jobs near you
Infographic showing various Ray job openings in California as of July 2026, with employment types broken down into 1% Locum Tenens, 3% As Needed, 71% Full Time, 16% Part Time, 1% Temporary, and 8% Contract. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $107,462 per year, or $51.7 per hour.
Software Engineer (Ray Core)

Software Engineer (Ray Core)

Anyscale, Inc

San Francisco, CA • On-site

Full-time

Re-posted 28 days ago

Job description

About Anyscale:
At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We're commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.
With Anyscale, we're building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.
Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.
About the role
Ray aims to provide a universal API for building distributed applications. To achieve this goal requires a distributed system with high levels of performance and reliability. We're looking for engineers with systems software experience that are interested in contributing to the Ray backend.
About the Ray Core Team
The Ray Core team develops and maintains the Ray C++ backend (e.g., distributed scheduler, language runtime integration, I/O and memory subsystems). We are responsible for the reliability, scalability, and performance of Ray as well as ensuring that Ray provides the right feature set to support higher level libraries and use cases. The team works on a balance of new features / distributed libraries, test infra improvements, debugging, and longer-term architectural improvements to Ray.
A snapshot of projects you can work on:
  • Optimizing performance of large-scale workloads on Ray
  • Stability and stress testing infrastructure
  • Improving fault tolerance (HA)

As part of this role, you will:
  • Leading cross-team projects while mentoring junior team members
  • Develop high quality open source software to simplify distributed programming (Ray)
  • Identify, implement, and evaluate architectural improvements to Ray core
  • Improve the testing process for Ray to make releases as smooth as possible
  • Communicate your work to a broader audience through talks, tutorials, and blog posts

We'd love to hear from you if you have:
  • At least 5 year of relevant work experience
  • Experience in building scalable and fault-tolerant distributed systems
  • Extensive experience working in C/C++ and on low level operating systems
  • Solid background in algorithms, data structures, system design
  • Knowledge of distributed model training and inference (e.g. tensor parallel, pipeline parallel) is preferred
  • Knowledge of GPU programming is preferred

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.
Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

Apply